Artificial Intelligence in the Pathological Diagnosis of Gastrointestinal Diseases Munetoshi Hinata 1 , Hiroyuki Abe 1 , Yusuke Kurose 2 , Tatsuya Harada 2 , Masashi Fukayama 3 , Tetsuo Ushiku 1 1Department of Pathology, Graduate School of Medicine, University of Tokyo, Tokyo 2Research Center for Advanced Science and Technology, University of Tokyo, Tokyo 3Digital Pathology Centre, Asahi General Hospital, Asahi, Japan Keyword: 人工知能 , 深層学習 , 病理診断 , 癌の遺伝子異常 pp.401-410
Published Date 2021/4/25
DOI https://doi.org/10.11477/mf.1403202295
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 AI(Artificial intelligence), using deep learning, has significantly improved accuracy in image recognition, and its application to support pathology practice is progressing. We have developed AI that successfully recognizes cancer cells in gastric biopsy images with sensitivity and specificity of approximately 90%. We have also developed AI that can predict EBV(Epstein-Barr virus)-positive and MSI(microsatellite-unstable/instability)gastric cancer subtypes. These subtypes are sensitive to immune-checkpoint inhibitors, with a high AUC(area under the curve)of 0.86. In addition, various AI tools have been reported. These include a prognosis predictor based on histopathological images, a detector of lymph node metastasis, and others. Infrastructure for development and utilization of AI in the field of pathology is advancing. As the accuracy of AI diagnosis improves, progress toward clinical application will continue. The next steps include validating the usefulness of developed tools in clinical practice.

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